Description |
1 online resource (551 pages). |
Physical Medium |
polychrome |
Description |
text file |
Series |
Computing and Networks Ser.
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Computing and Networks Ser.
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Note |
Description based upon print version of record. |
Contents |
Intro -- Halftitle Page -- Series Page -- Title Page -- Copyright -- Contents -- About the Editors -- 1 Introduction to intelligent network design driven by big data analytics, IoT, AI and cloud computing -- Preface -- Chapter 2: Role of automation, Big Data, AI, ML IBN, and cloud computing in intelligent networks -- Chapter 3: An intelligent verification management approach for efficient VLSI computing system -- Chapter 4: Evaluation of machine learning algorithms on academic big dataset by using feature selection techniques |
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Chapter 5: Accurate management and progression of Big Data analysis -- Chapter 6: Cram on data recovery and backup cloud computing techniques -- Chapter 7: An adaptive software defined networking (SDN) for load balancing in cloud computing -- Chapter 8: Emerging security challenges in cloud computing: An insight -- Chapter 9: Factors responsible and phases of speaker recognition system -- Chapter 10: IoT-based water quality assessment using fuzzy logic controller -- Chapter 11: Design and analysis of wireless sensor network for intelligent transportation and industry automation |
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Chapter 12: A review of edge computing in healthcare Internet of Things: theories, practices, and challenges -- Chapter 13: Image processing for medical images on the basis of intelligence and bio computing -- Chapter 14: IoT-based architecture for smart health-care systems -- Chapter 15: IoT-based heart disease prediction system -- Chapter 16: DIAIF: detection of interest flooding using artificial intelligence-based framework in NDN android -- Chapter 17: Intelligent and cost-effective mechanism for monitoring road quality using machine learning -- References |
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2 Role of automation, Big Data, AI, ML IBN, and cloud computing in intelligent networks -- 2.1 Evolution of networks: everything is connected -- 2.1.1 Intelligent devices -- 2.1.2 Intelligent devices connection with networks -- 2.2 Huge volume of data generation by intelligent devices -- 2.2.1 Issues and challenges of Big Data Analytics -- 2.2.2 Storage of Big Data -- 2.3 Need of data analysis by business -- 2.3.1 Sources of information -- 2.3.2 Data visualization -- 2.3.3 Analyzing Big Data for effective use of business -- 2.3.4 Intelligent devices thinking intelligently |
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2.4 Artificial intelligence and machine learning in networking -- 2.4.1 Role of ML in networks -- 2.5 Intent-based networking -- 2.6 Role of programming -- 2.6.1 Basic programming using Blockly -- 2.6.2 Blockly games -- 2.7 Role of technology to design a model -- 2.7.1 Electronic toolkits -- 2.7.2 Programming resources -- 2.8 Relation of AI, ML, and IBN -- 2.9 Business challenges and opportunities -- 2.9.1 The evolving job market -- 2.10 Security -- 2.10.1 Challenges to secure device and networks -- 2.11 Summary -- References |
Note |
3 An intelligent verification management approach for efficient VLSI computing system |
Summary |
This book shows how innovations in network analytics, IoTs and cloud computing platforms are being used to ingest, analyse and correlate a myriad of big data across the entire network stack in order to increase quality of service and quality of experience (QoS/QoE) and to improve network performance. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Big data -- Analysis.
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Big data. |
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Internet of things.
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Internet of things. |
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Cloud computing.
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Cloud computing. |
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Network analysis (Planning) -- Data processing.
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Network analysis (Planning) -- Data processing. |
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Network analysis (Planning) |
Added Author |
Mapp, Glenford.
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Cengiz, Korhan.
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Other Form: |
Print version: Kumar, Sunil Intelligent Network Design Driven by Big Data Analytics, IoT, AI and Cloud Computing PiraĆ : Institution of Engineering & Technology,c2022 9781839535338 |
ISBN |
1839535342 |
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9781839535345 (electronic book) |
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